The frequency of hydrological drought under LULCC-BAU1 and CWU scenarios is projected to increase by 43% and 53% during 2021-2050. The future agricultural droughts will likely be more intense and prolonged than meteorological droughts. Hydrological droughts, however, will be characterized by prolonged but less intense drought comparing to the metrological droughts. https://www.selleckchem.com/products/amg510.html The meteorological to agricultural drought propagation will likely be driven by LULCC under BAU1, while the meteorological to hydrological drought propagation is controlled by CWU changes.The search for low cost adsorbents that have metal-binding capacities has intensified in the last decades. Some natural aquatic macrophytes have been studied as adsorbents to remove heavy metals. Macrophytes ease to propagate converts them into plague for many ecosystems while they are also considered by some activities as a residue; therefore its resignification implies positive environmental effects. Whereas these macrophytes can be obtained from water bodies where they develop naturally, controlled production in greenhouses may be more appropriate for its use as filling in fixed-bed reactors that must operate continuously throughout the year. This work focused on obtaining the macrophytes growth parameters in order to calculate the most proper greenhouse containers dimensions and their required cultivation periods to be employed in a determined fixed-bed reactor with a certain effluent flow to filter. These parameters include the biomass yield, the area required to obtain certain dry weight of a given biosorbent, and the relative growth and propagation rates. Selected macrophytes species were Azolla pinnata, Salvinia molesta, Limnobium leavigatum, Lemna minor and Pistia stratiotes. The characterization of each biomass and the study of their performance as biosorbents were conducted for the removal of Cu (II), Pb (II) and Cr (VI) ions from aqueous solutions, always procuring the WHO guidelines for drinking water. Azolla pinnata resulted in the species with the highest percentage of dry weight (6.56%), and the lowest values of relative growth and propagation rates. This species was as well the most efficient in removal of Cu and Pb (96.7% and 99.4%, respectively), while Pistia stratiotes was better adsorbent for Cr with a removal of 58.8%. The possibility of metal recovery and macrophyte biomasses reuse was also proven. Given their natural abundance, elemental growth conditions and propagation rates, macrophytes represent a low cost alternative to the most efficient commercial adsorbents.In daily practice, different types of biomolecules are usually extracted for large-scale "omics" analysis with tailored protocols. However, when sample material is limited, an all-in-one strategy is preferable. Although lysis of cells and tissues with urea is widely used for phosphoproteomic applications, DNA, RNA, and proteins can be simultaneously extracted from small samples using acid guanidinium thiocyanate-phenol-chloroform (AGPC). Use of AGPC for mass spectrometry-based phosphoproteomics was reported but has not yet been thoroughly evaluated against a classical phosphoproteomic protocol. Here we compared urea- with AGPC-based protein extraction, profiling phosphorylations in the DNA damage response pathway after ionizing irradiation of U2OS cells as proof of principle. On average we identified circa 9000 phosphosites per sample with both extraction methods. Moreover, we observed high similarity of phosphosite characteristics (e.g., 94% shared class 1 identifications) and deduced kinase activities (e.g., ATM, ATR, CHEK1/2, PRKDC). We furthermore extended our comparison to murine and human tissue samples yielding similar and highly correlated results for both extraction protocols. AGPC-based sample extraction can thus replace common cell lysates for phosphoproteomic workflows and may thus be an attractive way to obtain input material for multiple omics workflows, yielding several data types from a single sample.In this research, silver nano particle (AgNP), was synthesized through a novel anaerobic mixed consortium mediation method and applied for the removal of phenol. The best operating conditions for the fabrication of silver nanoparticles were identified through response surface methodology (RSM) and the maximum yield was found to be 2.65 g/100 ml of anaerobic mixed consortium at optimal conditions of pH-8.6, temperature-90 °C, silver nitrate concentration-3 mg/ml and inoculum volume-3 ml. The synthesized nano particle exhibited a maximum phenol removal of 87.65% was achieved at pH5.8. The synthesized silver nanoparticles were characterized by superior surface area (19.26 m2/g) and the stability was confirmed by thermo gravimetric analysis (upto 500 °C). The surface morphology was well explained using High Resolution Transmission Emission Microscopy (HR-TEM) and Scanning Electron Microscope with EDS (SEM-EDS) techniques. X-ray Diffraction (XRD) analysis confirmed the changes in crystalline structure due to the adsorption of phenol. Kinetic experiments fitted well with the intra-particle diffusion model. The nature of adsorption of phenol was confirmed as monolayer by the goodness of fit with Langmuir isotherm (R2 &gt; 0.9969).In this study, water of the channels and ponds that conduct residual water in two most important cities of Saudi Arabia were assessed to ascertain the influence of the population on the occurrence and pollution characteristics of microplastics (MPs) (&gt; 20 ?m in size). Riyadh has 7.6 million inhabitants and is an urban city even though also have industry while Al-Jubail has only 0.78 and is the biggest industrial city. MPs showed an average of 3.2 items/L in Riyadh and 0.2 items/L in Al-Jubail showing a statistically significant difference between both cities. Sampling with a Turton Tow Net of 20 ?m mesh, fibers were dominant in all sites (60%). MPs size was mainly distributed between 80 and 250 ?m (60%), and their major colors were white (40%), red (25%) and blue (20%). Infrared spectral analysis revealed that most of the selected particles were identified as MPs of polypropylene and polyethylene (48.3%). The risk assessment was carried out using both the hazard index (HI) and the pollution load index (PLI). The results showed that, in this case, the decisive index is the PLI since the main difference in the MPs characteristics between the two cities is their concentration.